{"id":"W2040470635","doi":"10.3389/fninf.2014.00036","title":"Integrating neuroinformatics tools in TheVirtualBrain","year":2014,"lang":"en","type":"article","venue":"Frontiers in Neuroinformatics","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Baycrest Hospital","funders":"FP7 Information and Communication Technologies; James S. McDonnell Foundation","keywords":"Neuroinformatics; Computer science; Visualization; Human–computer interaction; Graphical user interface; Data mining; Data science; Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008830965,0.0003255886,0.00047497,0.0006240634,0.0001594294,0.0001905557,0.000568135,0.00009481285,0.000006477239],"category_scores_gemma":[0.03786594,0.0003069089,0.00009052334,0.0009851353,0.0001856303,0.001682891,0.0002625476,0.0007220783,0.00007003859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001372094,"about_ca_system_score_gemma":0.00005261786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007115234,"about_ca_topic_score_gemma":0.00002755586,"domain_scores_codex":[0.9972716,0.0002620143,0.000998429,0.0003108297,0.0005478978,0.0006092477],"domain_scores_gemma":[0.994307,0.004763633,0.0002777532,0.0005279644,0.00003360038,0.00009007374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005360164,0.0009399113,0.1098178,0.001149804,0.00004053818,0.00018746,0.04927286,0.06969396,0.00674761,0.1193019,0.1540572,0.488255],"study_design_scores_gemma":[0.001558949,0.0003150504,0.007845991,0.000148689,0.000007133039,0.00004798271,0.002733867,0.9213662,0.003482389,0.005783263,0.05607942,0.0006310687],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7767068,0.00005153671,0.0811027,0.004915934,0.005824564,0.001711019,0.00004596223,0.0004912989,0.1291502],"genre_scores_gemma":[0.9604642,0.0001495173,0.02122863,0.01768976,0.0001083819,0.0000592872,0.000007350356,0.00005625816,0.000236652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8516722,"threshold_uncertainty_score":0.9999383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03101761343852024,"score_gpt":0.2467870766352481,"score_spread":0.2157694631967279,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}